Relative Isoperimetric Inequality Outside Convex Bodies

Similar documents
THE RELATIVE ISOPERIMETRIC INEQUALITY OUTSIDE A CONVEX DOMAIN IN R n. 1. Introduction

TOTAL POSITIVE CURVATURE OF HYPERSURFACES WITH CONVEX BOUNDARY

In Orbifolds, Small Isoperimetric Regions are Small Balls

SHORTEST PERIODIC BILLIARD TRAJECTORIES IN CONVEX BODIES

Deformations of Unbounded Convex Bodies and Hypersurfaces

Estimates in surfaces with positive constant Gauss curvature

THE DOUBLE COVER RELATIVE TO A CONVEX DOMAIN AND THE RELATIVE ISOPERIMETRIC INEQUALITY

Convexity in R N Supplemental Notes 1

Centre for Mathematics and Its Applications The Australian National University Canberra, ACT 0200 Australia. 1. Introduction

In English, this means that if we travel on a straight line between any two points in C, then we never leave C.

Lecture 2: Isoperimetric methods for the curve-shortening flow and for the Ricci flow on surfaces

Convex Geometry. Carsten Schütt

Bodies of constant width in arbitrary dimension

Optimality Conditions for Nonsmooth Convex Optimization

LECTURE 15: COMPLETENESS AND CONVEXITY

TANGENT BUNDLE EMBEDDINGS OF MANIFOLDS IN EUCLIDEAN SPACE

arxiv: v2 [math.dg] 30 Nov 2016

QUALIFYING EXAMINATION Harvard University Department of Mathematics Tuesday 10 February 2004 (Day 1)

Geometric and isoperimetric properties of sets of positive reach in E d

1 Introduction and statements of results

Part IB GEOMETRY (Lent 2016): Example Sheet 1

Brunn Minkowski Theory in Minkowski space-times. François Fillastre Université de Cergy Pontoise France

Gauss Theorem Egregium, Gauss-Bonnet etc. We know that for a simple closed curve in the plane. kds = 2π.

SOME REMARKS ON THE TOPOLOGY OF HYPERBOLIC ACTIONS OF R n ON n-manifolds

Discrete Geometry. Problem 1. Austin Mohr. April 26, 2012

A glimpse into convex geometry. A glimpse into convex geometry

NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part II

BOUNDARY TORSION AND CONVEX CAPS OF LOCALLY CONVEX SURFACES

Minimal Surface. Ao Sun. 1 What is a minimal surface? Graph Variation Area Minimizing Property of G u... 3

LECTURE 22: THE CRITICAL POINT THEORY OF DISTANCE FUNCTIONS

arxiv: v2 [math.dg] 25 Oct 2014

OPTIMAL SMOOTHING FOR CONVEX POLYTOPES

The Minimal Element Theorem

On Mahler s conjecture a symplectic aspect

Isoperimetric Inequalities and the Alexandrov Theorem

Around the Brunn-Minkowski inequality

APPLICATIONS OF DIFFERENTIABILITY IN R n.

Hexagonal Surfaces of Kapouleas

Isoperimetric inequalities and variations on Schwarz s Lemma

Deforming conformal metrics with negative Bakry-Émery Ricci Tensor on manifolds with boundary

Math 5210, Definitions and Theorems on Metric Spaces

Distance to curves and surfaces in the Heisenberg group

M435: INTRODUCTION TO DIFFERENTIAL GEOMETRY

FIRST EIGENVALUE OF SYMMETRIC MINIMAL SURFACES IN S 3

arxiv: v1 [math.dg] 24 Feb 2017

FORMATION OF TRAPPED SURFACES II. 1. Introduction

arxiv: v1 [math.dg] 19 Jun 2017

Asymptotic Behaviour of λ-convex Sets in the Hyperbolic Plane

THE STEINER FORMULA FOR EROSIONS. then one shows in integral geometry that the volume of A ρk (ρ 0) is a polynomial of degree n:

Chapter 2 Convex Analysis

ISOPERIMETRIC REGIONS IN ROTATIONALLY SYMMETRIC CONVEX BODIES

Convex Sets. Prof. Dan A. Simovici UMB

(NON)UNIQUENESS OF MINIMIZERS IN THE LEAST GRADIENT PROBLEM

Estimates for the resolvent and spectral gaps for non self-adjoint operators. University Bordeaux

Minkowski geometry, curve shortening and flow by weighted mean curvature. Michael E. Gage University of Rochester.

ALEKSANDROV S THEOREM: CLOSED SURFACES WITH CONSTANT MEAN CURVATURE

(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively);

On the spectrum of the Hodge Laplacian and the John ellipsoid

On bisectors in Minkowski normed space.

Large curvature on open manifolds

arxiv: v2 [math.dg] 11 Nov 2016

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem

Convex Analysis and Optimization Chapter 2 Solutions

arxiv: v2 [math.ap] 20 Oct 2014

H-PRINCIPLES FOR HYPERSURFACES WITH PRESCRIBED PRINCIPLE CURVATURES AND DIRECTIONS

A NICE PROOF OF FARKAS LEMMA

Decouplings and applications

Moment Measures. Bo az Klartag. Tel Aviv University. Talk at the asymptotic geometric analysis seminar. Tel Aviv, May 2013

Appendix B Convex analysis

Math 730 Homework 6. Austin Mohr. October 14, 2009

Measuring Ellipsoids 1

Lectures in Geometric Functional Analysis. Roman Vershynin

How curvature shapes space

arxiv: v1 [math.mg] 4 Jan 2013

Math General Topology Fall 2012 Homework 8 Solutions

ICM 2014: The Structure and Meaning. of Ricci Curvature. Aaron Naber ICM 2014: Aaron Naber

An upper bound for curvature integral

Algorithmic Convex Geometry

On the cells in a stationary Poisson hyperplane mosaic

arxiv: v1 [math.fa] 14 Jul 2018

CS675: Convex and Combinatorial Optimization Spring 2018 The Ellipsoid Algorithm. Instructor: Shaddin Dughmi

Regularity of flat level sets in phase transitions

A LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION

PHASE TRANSITIONS: REGULARITY OF FLAT LEVEL SETS

SELECTED SAMPLE FINAL EXAM SOLUTIONS - MATH 5378, SPRING 2013

DECOUPLING LECTURE 6

MATH Final Project Mean Curvature Flows

FRANK MORGAN AND ANTONIO ROS

GAUSS CIRCLE PROBLEM

Rose-Hulman Undergraduate Mathematics Journal

Existence and Regularity of Stable Branched Minimal Hypersurfaces

EXISTENCE AND CHARACTERIZATION OF REGIONS MINIMIZING PERIMETER UNDER A VOLUME CONSTRAINT INSIDE EUCLIDEAN CONES

The Volume of the Intersection of a Convex Body with its Translates

Math 302 Outcome Statements Winter 2013

arxiv:math/ v3 [math.dg] 1 Jul 2007

Complete Surfaces of Constant Gaussian Curvature in Euclidean Space R 3.

GEOMETRIC APPROACH TO CONVEX SUBDIFFERENTIAL CALCULUS October 10, Dedicated to Franco Giannessi and Diethard Pallaschke with great respect

Diffraction by Edges. András Vasy (with Richard Melrose and Jared Wunsch)

GENERALIZED ISOPERIMETRIC INEQUALITIES FOR EXTRINSIC BALLS IN MINIMAL SUBMANIFOLDS. Steen Markvorsen and Vicente Palmer*

Inequalities for the ADM-mass and capacity of asymptotically flat manifolds with minimal boundary

Transcription:

Relative Isoperimetric Inequality Outside Convex Bodies Mohammad Ghomi (www.math.gatech.edu/ ghomi) Georgia Institute of Technology Atlanta, USA May 25, 2010, Tunis From Carthage to the World

Joint work with Jaigyoung Choe (Korean Institute for Advanced Study) Mauel Ritore (University of Granada, Spain)

Let D R n be a bounded set with boundary Σ := D of finite area. The Classical Isoperimetric Ineq: Area(Σ) Area ( sphere of volume Vol(D) ). Equality holds only when D is a ball. ( Area means the (n 1)-dimensional, and Volume is the n-dimensional, Hausdorff measures).

Let C R n be a convex set with interior points and smooth (C ) boundary, and D R n C be a bounded set with finite perimeter, and set Σ := D C. Theorem [Relative Isoperimetric Ineq.] Area(Σ) Area ( hemisphere of volume Vol(D) ). Equality holds only when D is a half-ball.

Let C R n be a convex set with interior points and smooth (C ) boundary, and D R n C be a bounded set with finite perimeter, and set Σ := D C. Theorem [Relative Isoperimetric Ineq.] Area(Σ) Area ( hemisphere of volume Vol(D) ). Equality holds only when D is a half-ball.

Let C R n be a convex set with interior points and smooth (C ) boundary, and D R n C be a bounded set with finite perimeter, and set Σ := D C. Theorem [Relative Isoperimetric Ineq.] Area(Σ) Area ( hemisphere of volume Vol(D) ). Equality holds only when D is a half-ball.

Note: Relative Isop. Ineq = Classical Isop. Ineq. D Given a region D R n, there exists a hyperplane H R n which cuts D into regions of equal volume. By the Rel. Isop. Ineq., the area of D on either side of H is no less than that of a hemisphere with half the volume of D. So the area of D cannot be less than that of a sphere with the same volume.

Note: Relative Isop. Ineq = Classical Isop. Ineq. D Given a region D R n, there exists a hyperplane H R n which cuts D into regions of equal volume. By the Rel. Isop. Ineq., the area of D on either side of H is no less than that of a hemisphere with half the volume of D. So the area of D cannot be less than that of a sphere with the same volume.

Note: Relative Isop. Ineq = Classical Isop. Ineq. D Given a region D R n, there exists a hyperplane H R n which cuts D into regions of equal volume. By the Rel. Isop. Ineq., the area of D on either side of H is no less than that of a hemisphere with half the volume of D. So the area of D cannot be less than that of a sphere with the same volume.

Note: Relative Isop. Ineq = Classical Isop. Ineq. D Given a region D R n, there exists a hyperplane H R n which cuts D into regions of equal volume. By the Rel. Isop. Ineq., the area of D on either side of H is no less than that of a hemisphere with half the volume of D. So the area of D cannot be less than that of a sphere with the same volume.

Note: Relative Isop. Ineq = Classical Isop. Ineq. D Given a region D R n, there exists a hyperplane H R n which cuts D into regions of equal volume. By the Rel. Isop. Ineq., the area of D on either side of H is no less than that of a hemisphere with half the volume of D. So the area of D cannot be less than that of a sphere with the same volume.

Note: Relative Isop. Ineq = Classical Isop. Ineq. D Given a region D R n, there exists a hyperplane H R n which cuts D into regions of equal volume. By the Rel. Isop. Ineq., the area of D on either side of H is no less than that of a hemisphere with half the volume of D. So the area of D cannot be less than that of a sphere with the same volume.

The proof of the relative isoperimetric inequality involves 3 parts: 1. Existence and Regularity of the minimizer 2. Reducing the problem to a curvature estimate 3. Obtaining that estimate.

Lemma (Existence and Regularity) Let E be the closure of a bounded domain with smooth boundary in R n C. Then, for any v (0, Vol E), there is a set D E of volume v minimizing the area of Σ. C D E Moreover...

Lemma (Continued) (i) Σ has constant mean curvature and is smooth in the interior of E except for a singular set of Hausdorff dimension less than or equal to (n 8). (ii) Σ meets C orthogonally except for a singular set of Hausdorff dimension less than or equal to (n 8). In fact Σ is smooth at every point of Σ C away from this singular set. (iii) If E C is strictly convex, then Σ meets E C tangentially and it is C 1,1 in a neighborhood of E C. (iv) At every point p Σ there is a tangent cone obtained by blowing up Σ about p. If this tangent cone is contained in a half space of R n, then it is the half space and Σ is regular at p.

Note The C 1,1 regularity of Σ almost everywhere is enough for our purposes since, by Rademacher s Theorem, a C 1,1 hypersurface has principal curvatures defined almost everywhere, and thus we will be able to talk about integral estimates for curvature of Σ.

To prove the relative isoperimetric inequality we constrct an exhaustion of R n : Fix p 0 C and let E m := B(p 0, m) C. The isoperimetric profile of E m is defined as I Em (v) := inf { Area(Σ) : D E m, Vol D = v } All we need is to show that, for all v (0, Vol(E m )) I Em (v) I H n(v) where I H n(v) denotes the isoperimetric profile of the halfspace H n : I H n(v) := Area(Hemisphere of volume v)

I Em (v) I H n(v) It is well known that I Em is increasing so I 1 E m inequality is then equivalent to exists. The above for all a (0, I Em (Vol(E m )). I 1 E m (a) I 1 H n (a)

It is well known that I 1 E m is absolutely continuous. In particular (I 1 E m ) exists almost everywhere. Thus, since I 1 E m (0) = 0 = I 1 H (0), to prove that I 1 n E I 1 m H it n suffices to show that But where ( I 1 E m ) ( I 1 H n ) (I 1 E m ) (a) = ( (n 1)HΣ (a) ) 1 (I 1 H n ) (a) = ( (n 1)H0 (a) ) 1 H Σ (a) is the mean curvature of the hypersurface Σ corresponding to any region D E m with Area(Σ) = a which has the largest volume. H 0 (a) is the mean curvature of a hemisphere of area a.

So, to prove the relative isoperimetric inequality, all we need is to show that H Σ (a) H 0 (a). for all a (0, I 1 E m (Vol(E m ))). That is, the mean curvature of any hypersurface Σ, trapping the smallest possible volume v against C, is not greater than the mean curvature of a hemisphere with the same area as Σ. We will also show that the equality holds only when Σ itself is a hemisphere. From now on let us fix a and set H Σ := H Σ (a), H 0 := H 0 (a).

To prove that H Σ H 0, let Σ be oriented by the unit normals which point outside of D: Let k i, i = 1,..., n 1, be the principal curvatures of Σ with respect to n and set Σ + := {p Σ k i (p) > 0}. Since H is constant and positive, Area(Σ)H n 1 Σ = Σ H n 1 Σ H n 1 Σ Σ + K, Σ + the last inequality follows from the arithmetic vs. geometric mean inequalities.

So it remains to show that Σ + K Area(Σ)H n 1 0 where, recall that, H 0 is the mean curvature of a hemisphere of the same area as Σ.

But if H 0 is the mean curvature of a hemisphere of the same area as Σ, then if r denotes the radius of that hemisphere, we have Area(Σ)H n 1 0 = ( Area(S n 1 ) ( ) 1 r n 1 2 r = Area(Sn 1 ). 2 ) n 1 So, to prove that Σ + K Area(Σ)H n 1 0, it suffices to show that Σ + K Area(Sn 1 ) 2 This is all we need to prove the relative isop. ineq. Further we will show that if equality holds in the above inequality, then Σ lies in a hyperplane, which takes care of uniqueness.

Theorem Let Σ R n be a compact embedded hypersurface which is C 1,1 almost everywhere. Suppose that Σ lies on the boundary of a convex C 1 set C R n and at every regular point p Σ, the inward normal σ(p) of Σ is an outward normal of C. Then K Area(Sn 1 ), Σ + 2 and equality holds if and only if Σ lies in a hyperplane.

Proving that Σ + K Area(S n 1 )/2 is easy to do in two special cases: Easy Case 1: n = 3 and χ(m) = 1 Since C is convex and Σ lies outside of C near Σ, it follows that the geodesic curvature of Σ is nonpostitive everywhere. So κ g 0. Σ Consequently, by Gauss-Bonnet theorem: K K = 2πχ(Σ) Σ + Σ Σ κ g 2π.

Easy Case 2: C = S n 1 Connect all points of Σ by straight lines to the center o of S n 1. Then we obtain a closed surface Σ. For every u S n 1, Σ must have a support hyperplane with outward normal u or u which does not contain o and is consequently tangent to Σ.

Note In general, however, it is not true that for every u S n 1, Σ must have a tangent support hyperplane with outward normal u or u: This is one of the reasons that proving Σ + K Area(S n 1 )/2 is not so trivial. Still, we will show that for at least half of the directions u S n 1, Σ has a tangent support hyperplane with outward normal u.

Showing that the outward normals of tangent support hyperplanes of Σ fill up at least half of the sphere is based on the following simple observation:

Let p Σ, σ(p) be the inward normal to Σ and u S n 1 be the outward normal to a support hyperplane of Σ such that σ(p), u > 0. Then Σ lies on one side of the hyperplane H which passes through p and is orthogonal to u, while some interior points of Σ lie on the other side of H where σ(p) points. So moving H parallel to itself in the direction of u we obtain a tangent support hyperplane with outward normal u.

So all we need to show is that the measure in S n 1 of all unit vectors u such that 1. u, σ(p) > 0, for some p Σ 2. u supports Σ adds up to at least half the area of S n 1.

In other words, let N p ( Σ) be the support cone of Σ at p, i.e., N p ( Σ) := {u S n 1 q p, u 0, for all q Σ}. This is just the set of unit vectors such that there exists a hyperplane through p and with outward normal u with respect to which Σ lies one side (the side opposite to u). Then let N p ( Σ)/σ(p) := {u N p ( Σ) u, σ(p) > 0}. be the support cone modified by σ and set N(Σ)/σ := N p ( Σ)/σ(p). p Σ What we need to show is that µ ( N(Σ)/σ ) 1 2 Area(Sn 1 ) where µ denotes the measure in S n 1.

What we need is a special case of the following general fact: Theorem Let X R n be a compact set which is disjoint from the relative interior of its convex hull (e.g., let X = Σ). Suppose there exists a continuous mapping σ : X S n 1 such that σ(p) N p X for all p X (e.g. σ is the inward normal of Σ). Then Area ( NX /σ ) Area(Sn 1 ). 2 Equality holds if and only if X lies in a hyperplane Π, and σ(p) is orthogonal to Π for all exposed points p X.

To see why the last claim is true, first suppose that X is a convex polytope, or is discrete (e.g. Σ is polygonal). Then N(X ) = i N pi (X ) where p i are the vertices of X, and N(X )/σ = i N pi (X )/σ i

Note that, by convexity, µ(n pi (X )) = µ(n(x )) = Area(S n 1 ). i So when X is dicsrete to prove that µ(n(x )/σ) Area(S n 1 )/2 all we need is to show that µ(n pi (X )/σ i ) 1 2 µ(n p i (X ))

But N p (X )/σ = N p (X ) H σ where H σ is a hemisphere centered at σ. Further, N p (X ) is a convex subset of S n 1. So, when X is discrete, all we need to show is that...

Lemma Let A S n 1 be a (geodesically) convex set, and u A. Then µ(a H u ) 1 2 µ(a). where H u is a hemisphere centered at u. Furthermore equality holds if and only if u A. u H u This is the deep reason behind the relative (and the classical!) isoperimetric inequality.

To prove that Area ( NX /σ ) Area(Sn 1 ) 2 for general sets, we approximate them by polytopes and apply the previous lemma. The strict inequality then will get pushed through the limit easily. In order to push through the sharp inequality, we need a stronger version of the previous lemma which includes a stability result as well...

Lemma Let A S n 1 be a (geodesically) convex set, and u A. Then µ(a H u ) 1 2 µ(a). where H u is a hemisphere centered at u. Equality holds if and only if u A. Further, for every ɛ > 0 there exists δ > 0 such that ( ) 1 µ(x H u ) 2 + δ µ(x ) = dist(x, u) ɛ.

Generalization: The Capillary Isopermetric Inequality Let C be a convex domain in R n and D be a domain in R n C. Define the capillary volume VolC θ ( D) := Vol( D C) (cos θ)vol( D C) where 0 θ π. Then Vol θ C ( D) Vol θ H n( B) where H n is a half space of R n and B n R n is a ball such that B := B n H n has corner angle θ and Vol(D) = Vol(B). Equality holds if and only if D = B.

Thank you!